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» Automated Approaches for Classifying Structures
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AAAI
2006
13 years 11 months ago
On Combining Multiple Classifiers Using an Evidential Approach
Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
Yaxin Bi, Sally I. McClean, Terry J. Anderson
BMCBI
2007
152views more  BMCBI 2007»
13 years 10 months ago
A multiresolution approach to automated classification of protein subcellular location images
Background: Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for auto...
Amina Chebira, Yann Barbotin, Charles Jackson, Tho...
AVBPA
2003
Springer
104views Biometrics» more  AVBPA 2003»
14 years 3 months ago
Fusion of Statistical and Structural Fingerprint Classifiers
Classification is an important step towards fingerprint recognition. In the classification stage, fingerprints are usually associated to one of the five classes “A”, “L”, ...
Gian Luca Marcialis, Fabio Roli, Alessandra Serrau
ILP
2000
Springer
14 years 1 months ago
Decomposing Probability Distributions on Structured Individuals
Naive Bayesian classifiers have been very successful in attribute-value representations. However, it is not clear how the decomposition of the probability distributions on attribu...
Peter A. Flach, Nicolas Lachiche
ECIR
2003
Springer
13 years 11 months ago
A Machine Learning Approach for the Curation of Biomedical Literature
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She...